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Computer Science - Database Management & Information Retrieval | Distributed and Parallel Databases (Editorial Board)

Distributed and Parallel Databases

Distributed and Parallel Databases

An International Journal

Editor-in-Chief: D. Agrawal; M. Mokbel

ISSN: 0926-8782 (print version)
ISSN: 1573-7578 (electronic version)

Journal no. 10619

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Editors-in-Chief:

Divy Agrawal, University of California Santa Barbara, USA

Mohamed Mokbel, Qatar Computing Research Institute, Qatar

 

Founding Editor:

Ahmed Elmagarmid, Qatar Foundation, Qatar

 

Advisory Board:

Wil van der Aalst, Technische Universiteit Eindhoven, Netherlands

Elisa Bertino, Purdue University, USA

Athman Bouguettaya, University of Sydney, Australia

Ashish Gupta, Google, USA

Hosagrahar Jagadish, University of Michigan Ann Arbor, USA

David Lomet, Microsoft Research, USA

Beng Chin Ooi, National University of Singapore, Singapore

Sunil Prabhakar, Purdue University, USA

Amit Sheth, Wright State University, USA

Patrick Valduriez, INRIA, France

 

Survey Track:

Feifei Li, University of Utah, USA

 

Systems Track:

Alex Labrinidis, University of Pittsburgh, USA

 

Special Issue Coordinator:

Panos Chrysanthis, University of Pittsburgh, USA

 

Editorial Board:

Ashraf Aboulnaga, Qatar Computing Research Institute, Qatar

Boualem Benatallah, University of New South Wales, Australia

Sourav Bhowmick, Nanyang Technological University, Singapore

Angela Bonifati, Lyon 1 University, France

Rajkumar Buyya, University of Melbourne, Australia

Kaushik Chakrabarti, Microsoft Research, USA

Lei Chen, Hong Kong University of Science and Technology, Hong Kong

Yi Chen, New Jersey Institute of Technology, USA

Reynold Cheng, University of Hong Kong, Hong Kong

Bin Cui, Peking University, China

Sudipto Das, Microsoft Research, USA

Anwitaman Datta, Nanyang Technological University, Singapore

Alex Delis, University of Athens, Greece

Amol Deshpande, University of Maryland, USA

Mohamed ElTabakh, Worcester Polytechnic Institute, USA

Hakan Ferhatosmanoglu, University of Warwick, UK

Elena Ferrari, University of Insubria, Italy

Mohand-Said Hacid, Lyon 1 University, France

Jayant Haritsa, Indian Institute of Science, India

Katja Hose, Aalborg University, Denmark

Verena Kantere, University of Geneva, Switzerland

Laks Lakshmanan, University of British Columbia, Canada

Wolfgang Lehner, Technische Universität Dresden, Germany

Chengkai Li, University of Texas at Arlington, USA

Qiong Luo, Hong Kong University of Science and Technology, Hong Kong

Sanjay Madria, Missouri University of Science and Technology, USA

Mukesh Mohania, IBM, Australia

Kyriakos Mouratidis, Singapore Management University, Singapore

Suman Nath, Microsoft Research, USA

Mourad Ouzzani, Qatar Computing Research Institute, Qatar

Esther Pacitti, University of Montpellier, France

Yannis Papakonstantinou, University of California San Diego, USA

Norman Paton, University of Manchester, UK

Evaggelia Pitoura, University of Ioannina, Greece

Florin Rusu, University of California Merced, USA

Shazia Sadiq, University of Queensland, Australia

Dimitris Sacharidis, Technische Universität Wien, Austria

Jagan Sankaranarayanan, Google, USA

Julia Stoyanovich, Drexel University, USA

Mathias Weske, University of Potsdam, Germany

Xiaokui Xiao, Nanyang Technological University, Singapore

Stratis Viglas, University of Edinburgh, UK

Demetris Zeinalipour, University of Cyprus, Cyprus

Rui Zhang, University of Melbourne, Australia

Xiaofang Zhou, University of Queensland, Australia

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  • Aims and Scope

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    Distributed and parallel databases technology has been the subject of intense research and development effort. Numerous practical applications and commercial products that exploit this technology also exist. The maturation of the field, together with the new issues that are raised by the changes in the underlying technology, requires a central focus for work in the area. Distributed and Parallel Databases provides such a focus for the presentation and dissemination of new research results, systems development efforts, and user experiences in distributed and parallel database systems. Distributed and Parallel Databases publishes papers in all the traditional as well as most emerging areas of database research, including:

    ·         Availability and reliability

    ·         Benchmarking and performance evaluation, and tuning

    ·         Big Data Storage and Processing

    ·         Cloud Computing and Database-as-a-Service

    ·         Crowdsourcing

    ·         Data curation, annotation and provenance

    ·         Data integration, metadata Management, and interoperability

    ·         Data models, semantics, query languages

    ·         Data mining and knowledge discovery

    ·         Data privacy, security, , trust

    ·         Data provenance, workflows, Scientific Data Management

    ·         Data visualization and interactive data exploration

    ·         Data warehousing, OLAP, Analytics

    ·         Graph data management, RDF, social networks

    ·         Information Extraction and Data Cleaning

    ·         Middleware and Workflow Management

    ·         Modern Hardware and In-Memory Database Systems

    ·         Query Processing and Optimization

    ·         Semantic Web and open data

    ·         Social Networks

    ·         Storage, indexing, and physical database design

    ·         Streams, sensor networks, and complex event processing

    ·         Strings, Texts, and Keyword Search

    ·         Spatial, temporal, and spatio-temporal databases

    ·         Transaction processing

    ·         Uncertain, probabilistic, and approximate databases

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